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DESCRIPTION
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DESCRIPTION
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Package: landmap
Title: Automated Spatial Prediction using Ensemble Machine Learning
Version: 0.0.11
Authors@R: person("Tomislav", "Hengl", email = "[email protected]", role = c("aut", "cre"))
Description: Functions and tools for spatial interpolation and/or prediction of environmental variables (points to grids)
based on using Ensemble Machine Learning with geographical distances. Package also provides access to Global
Environmental Layers (<https://www.OpenLandMap.org>) produced by the OpenGeoHub.org foundation and collaborators. Some functions have been migrated and adopted from the
Global Soil Information Facilities package.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/envirometrix/landmap/
BugReports: https://github.com/envirometrix/landmap/issues/
Imports:
methods,
utils,
parallel,
matrixStats,
ranger,
forestError,
glmnet,
mlr,
parallelMap,
sp,
rgdal,
gdalUtils,
raster
Suggests: nabor, meteo, geoR, ParamHelpers, mda, psych, spdep, fossil, xgboost, plyr, kernlab, nnet, rjson, spatstat, spatstat.core, maptools, maxlike, RCurl, aqp, deepnet, RSAGA, soiltexture, snowfall, plotKML, boot
RoxygenNote: 7.1.1
SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0),
PROJ (>= 4.8.0)